Hosts’ online affinities and their impacts on the number of online reviews on peer-to-peer platforms |
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| Institution: | 1. Business School, Tianjin University of Finance and Economics, 25# Zhujiang Avenue, Tianjin, 300204, PR China;2. College of Tourism and Service Management, Nankai University, Tianjin, 300350, PR China;3. International School of Cultural Tourism, Hangzhou City University, NO.51 Huzhou Street, Gongshu District, Hangzhou, Zhejiang, 310014, PR China |
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| Abstract: | Different from traditional hotels, hosts' affinity is an essential feature of homestays. This study uncovers how Airbnb hosts demonstrate their affinity online through the data from 114,310 listings, and examines the relationship between hosts' affinity and the number of reviews, as well as the moderating role of hosts' affinity in the associations among sub-ratings, host listings count, and the number of reviews. The findings indicate a positive link between hosts' affinity and the number of reviews. Guests tend to assign higher overall scores to homestays with poor performance but high affinity, and may alter their homestay attribute requirements in future reservation decisions. Hosts' affinity from guest reviews has greater direct and moderating effects on the number of reviews than hosts' self-statements. Interestingly, hosts' affinity from guest reviews can reduce the guests' requirements for homestay attributes of multiple listings. Meanwhile, hosts’ affinity displayed by host self-statements exhibits the opposite moderating effects. |
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| Keywords: | Hosts' affinity Number of reviews Text mining Sub-ratings Guest reviews Host self-statements |
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